CRAN/E | MKpower

MKpower

Power Analysis and Sample Size Calculation

Installation

About

Power analysis and sample size calculation for Welch and Hsu (Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) t-tests including Monte-Carlo simulations of empirical power and type-I-error. Power and sample size calculation for Wilcoxon rank sum and signed rank tests via Monte-Carlo simulations. Power and sample size required for the evaluation of a diagnostic test(-system) (Flahault et al. (2005), doi:10.1016/j.jclinepi.2004.12.009; Dobbin and Simon (2007), doi:10.1093/biostatistics/kxj036) as well as for a single proportion (Fleiss et al. (2003), ISBN:978-0-471-52629-2; Piegorsch (2004), doi:10.1016/j.csda.2003.10.002; Thulin (2014), doi:10.1214/14-ejs909), comparing two negative binomial rates (Zhu and Lakkis (2014), doi:10.1002/sim.5947), ANCOVA (Shieh (2020), doi:10.1007/s11336-019-09692-3), reference ranges (Jennen-Steinmetz and Wellek (2005), doi:10.1002/sim.2177), and multiple primary endpoints (Sozu et al. (2015), ISBN:978-3-319-22005-5).

Citation MKpower citation info
github.com/stamats/MKpower

Key Metrics

Version 0.9
R ≥ 3.5.0
Published 2024-04-07 21 days ago
Needs compilation? no
License LGPL-3
CRAN checks MKpower results

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Maintainer

Maintainer

Matthias Kohl

Matthias.Kohl@stamats.de

Authors

Matthias Kohl

aut / cre

Material

NEWS
Reference manual
Package source

Vignettes

Package MKpower

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

MKpower archive

Depends

R ≥ 3.5.0

Imports

stats
matrixTests ≥ 0.2
ggplot2
MKdescr
MKinfer ≥ 0.4
qqplotr
coin
mvtnorm

Suggests

knitr
rmarkdown